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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: Neuroimage. 2018 Jan 11;171:341–354. doi: 10.1016/j.neuroimage.2018.01.006

Figure 9.

Figure 9

Receiver operating characteristic (ROC) curves obtained from the synthetic corpus callosum (CC) datasets using the alternative free-response ROC (AFROC) method for the two STFC methods: the global-distance-threshold-based (GDTB) method and the proposed method that uses a locally adaptive parcel neighborhood construction. The false positive rate (FPR) represents the probability of any false positive parcels detected anywhere across 1000 randomly generated synthetic datasets, and the true positive rate (TPR) is the average fraction of true positive parcels correctly detected across the 1000 datasets. The areas under the curve (AUCs) for the two methods are 0.936 and 0.508, respectively.